Lila Sciences的两位高管聊了个大胆想法：把实验室当数据中心用，用10万亿实验token训练AI，跨学科搞推理，比单纯刷题更有价值。
Lila Sciences的CTO Andy Beam和CSO Rafa Gómez-Bombarelli在播客中提出，未来实验室应像数据中心一样运行。他们将湿实验室转变为24/7的token生成器，已积累10万亿实验验证推理token。跨生物学、化学、材料科学的广度训练能产生更好的通用推理模型。他们讨论了从超人类考试能力到真正科学发现的路径。
🔬 The Lab of the Future Should Feel Like a Data Center with Andy Beam & Rafa Gómez-Bombarelli, Lil...
🔬 The Lab of the Future Should Feel Like a Data Center with Andy Beam & Rafa Gómez-Bombarelli, Lila Sciences latent.space/p/the-lab-of-t… A @LilaSciences CTO @AndrewLBeam and CSO Rafa Gómez-Bombarelli explain why science is the last untapped source of internet-scale training data, how AI Science Factories turn wet labs into 24/7 token generators, what’s inside 10 trillion experimentally validated reasoning tokens, why breadth across biology, chemistry, and materials can produce better general reasoners, and what it will take to move from superhuman test-taking to genuinely creative scientific discovery. 💬 1 🔄 0 ❤️ 2 👀 344 📊 1 ⚡